README.md

Sentiment Analysis

Usage

1. Clone the repository
2. cd into the repository
3. Run just install to install the dependencies
4. Run just run --help to see the available commands

TODO

• CLI using click (commands: predict, train, evaluate) with settings set via flags or environment variables
• GUI using gradio (tabs: predict, train, evaluate, compare, settings)
• For the sklearn model, add more classifiers
• Use random search for hyperparameter tuning and grid search for fine-tuning
• Finish the text pre-processing transformer
• For vectorization, use custom stopwords
• Write own tokenizer/vectorizer
• Add more datasets
• Add more models (e.g. BERT)
• Write tests
• Use xgboost?
• Deploy to huggingface?